Passive source localization using compressively sampled vector sensor array

Accurate estimation of direction of arrival (DoA) with minimum ocean bed array hardware is a challenging task. Any reduction in the data acquisition circuitry positioned in the ocean bed significantly improves the signal integrity and hence the localization performance. In this paper, a novel compressively sampled acoustic vector sensor (CS-AVS) array architecture is proposed to estimate the DoA of multiple acoustic sources. Bearing localization is effectively achieved by customizing multiple signal classification (MUSIC) and minimum variance distortionless response estimator (MVDR) to suit the CS-AVS array. This architecture guarantees a substantial reduction in the number of sensors, acquisition hardware, bandwidth, number of snapshots and the software complexity.